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Field
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, water use, and carbon emissions. You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials
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Research Fellow (Software, AI & Autonomous Systems) Required Qualifications PhD in Robotics, Computer Science, Artificial Intelligence, Electrical, Computer Engineering, or related disciplines. Key
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Title: Research Fellow in Power Systems Engineering Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term
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placed on novel genes, for which our laboratory has generated multiple genetically engineered mouse models. We seek outstanding postdoctoral candidates with strong career potential to advance our
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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of experimental protocols, software pipelines, and laboratory procedures • Contribute to data-driven approaches for predictive colloid science, including experimental design, data analysis, modelling, and machine
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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multidisciplinary team of scientists and engineers working at the forefront of hydrogen materials research. The project will focus on the optimisation of metal (complex) hydrides and the development of advanced solid
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. RSM) and familiarity with data‑driven or AI‑assisted modelling approaches is an advantage. Experience in pilot‑scale processing, scale‑up assessment, or techno‑economic evaluation of food ingredients